Topic

Training Data and Alignment

Latest viewpoints

Models should selectively learn from training data

Ho argues that alignment requires controlling which patterns models learn from data, retaining beneficial behaviors while rejecting undesirable ones rather than indiscriminately absorbing everything in the training set.

Eric Ho Training Data and Alignment Source at 44:37

AI alignment remains difficult but technically solvable

Ho describes alignment as an unsolved problem because model properties emerge unpredictably from broad training data, but says he is optimistic that technical work can produce models that reliably benefit humanity.

Eric Ho Training Data and Alignment Source at 59:52

Leaders

Jensen Huang

CEO, Nvidia

Last interview Sep 2, 2026

Howard Lutnick

Public business viewpoint profile

Last interview Sep 2, 2026

Sam Altman

CEO, OpenAI

Last interview Sep 2, 2026

Elon Musk

CEO, SpaceX / Tesla

Last interview Sep 1, 2026

Julien Bek

Partner, Sequoia Capital

Last interview Aug 24, 2026

Thibault Sottiaux

Engineer, OpenAI

Last interview Aug 24, 2026

Matthew Berman

Influencer, Forward Future

Last interview Aug 24, 2026

David Senra

Podcaster, Senra Show

Last interview Aug 23, 2026

LeAnn Foster

Founder, EUTHENICS

Last interview Aug 22, 2026

Eric Ho

CEO, Goodfire

Last interview Aug 21, 2026